Arash Eshghi

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 50 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Arash Eshghi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Antoine Bordes
  2. Tomas Mikolov
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Jason Aaron Edward Weston
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Oriol Vinyals
  9. Jacob Devlin
  10. Yoon Kim

Who trusts Arash Eshghi overall

  1. Igor Shalyminov
  2. Sungjin Lee
  3. Sarah Wiegreffe
  4. Congying Xia
  5. Hoang Nguyen
  6. Fan Huang
  7. Swarnadeep Saha
  8. Emanuele Bastianelli
  9. Chenwei Zhang
  10. Qingbin Liu

Papers from Arash Eshghi's perspective

Ordered by how strongly the researchers Arash Eshghi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers